汽车ABS控制系统关键技术研究综述*

作者：张向文，许勇，潘明，樊永显 日期：2009-12-30/span> 浏览：6178 查看PDF文档

汽车ABS控制系统关键技术研究综述*

张向文，许勇，潘明，樊永显
(桂林电子科技大学 计算机与控制学院,广西 桂林 541004)

摘要：为了深入研究和比较汽车ABS控制系统的关键技术，根据汽车ABS技术发展的背景和ABS控制系统的工作原理，对汽车ABS控制系统的参考车速估计和最佳滑移率估计两项关键技术进行了总结。通过比较几种参考车速估计技术的实现原理和优缺点发现，模糊卡尔曼滤波法在计算复杂性、求解精度、鲁棒性和实用性等方面是一种比较理想的车速估计方法；通过比较最佳滑移率估计技术的实现原理和优缺点发现，斜率法和函数极值法是比较理想的估计方法，而同时采用这两种方法进行估计，然后进行估计结果的互相验证，将是一种更理想的估计方法。
关键词：ABS；轮速；汽车加速度；参考车速估计；最佳滑移率估计
中图分类号：U463.52文献标识码：A文章编号：1001-4551(2009)12-0001-04

Review of key technologies on vehicle ABS control system
ZHANG Xiangwen, XV Yong, PAN Ming, FAN Yongxian
(Computer and Control College, Guilin University of Electronic Technology, Guilin 541004, China)
Abstract: Aiming at researching and comparing the key technologies of the vehicle antilock braking system (ABS) deeply, a review was given on the two key technologies of the vehicle reference speed estimation and the optimal slip ratio estimation, based on the vehicle ABS technology development and the working principle of the ABS control system. For the vehicle reference speed estimation and the optimal slip ratio estimation, the advantages and disadvantages of the realization methods were analyzed and compared. The results show that the fuzzy Kalman filtering method is the ideal vehicle reference speed estimation method in the calculation complexity, accuracy, robustness and practicality etc.. The slope method and the extreme function method are good method, which should be better when the two methods are both used and their results are calibrated mutually.
Key words: ABS; wheel speed; vehicle acceleration; vehicle reference speed estimation; optimal slip ratio estimation
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